Effective Diversity in Population Based Reinforcement Learning

3 February 2020

Papers citing "Effective Diversity in Population Based Reinforcement Learning"

34 / 34 papers shown

Title
Improving Human-AI Coordination through Adversarial Training and Generative Models Paresh Chaudhary Yancheng Liang Daphne Chen S. Du Natasha Jaques 64 0 0 21 Apr 2025
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun-Jie Luo 76 1 0 28 Jan 2025
CORD: Generalizable Cooperation via Role Diversity Kanefumi Matsuyama Kefan Su Jiangxing Wang Deheng Ye Zongqing Lu 40 0 0 04 Jan 2025
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution Ke Xue Yutong Wang Cong Guan Lei Yuan Haobo Fu Qiang Fu Chao Qian Yang Yu 42 16 0 03 Jan 2025
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems Changshuo Zhang Sirui Chen Xiao Zhang Sunhao Dai Weijie Yu Jun Xu OffRL 33 1 0 17 Jan 2024
Iteratively Learn Diverse Strategies with State Distance Information Wei Fu Weihua Du Jingwei Li Sunli Chen Jingzhao Zhang Yi Wu 45 3 0 23 Oct 2023
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination Xihuai Wang Shao Zhang Wenhao Zhang Wentao Dong Jingxiao Chen Ying Wen Weinan Zhang 28 8 0 08 Oct 2023
Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory Naoki Masuyama Yusuke Nojima Y. Toda C. K. Loo H. Ishibuchi N. Kubota FedML 29 3 0 07 Sep 2023
Robust Driving Policy Learning with Guided Meta Reinforcement Learning Kanghoon Lee Jiachen Li David Isele Jinkyoo Park K. Fujimura Mykel J. Kochenderfer 21 5 0 19 Jul 2023
Mixture of personality improved Spiking actor network for efficient multi-agent cooperation Xiyun Li Ziyi Ni Jingqing Ruan Linghui Meng Jing Shi Tielin Zhang Bo Xu 53 4 0 10 May 2023
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward Zihan Zhou Animesh Garg OffRL 14 3 0 30 Apr 2023
Efficient Quality-Diversity Optimization through Diverse Quality Species Ryan Wickman Bibek Poudel Taylor Michael Villarreal Xiaofei Zhang Weizi Li 23 6 0 14 Apr 2023
Evolving Populations of Diverse RL Agents with MAP-Elites Thomas Pierrot Arthur Flajolet 25 8 0 09 Mar 2023
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play Fanqing Lin Shiyu Huang Tim Pearce Wenze Chen Weijuan Tu 19 17 0 15 Feb 2023
Generalization through Diversity: Improving Unsupervised Environment Design Wenjun Li Pradeep Varakantham Dexun Li 19 7 0 19 Jan 2023
Efficient Exploration using Model-Based Quality-Diversity with Gradients Bryan Lim Manon Flageat Antoine Cully 18 4 0 22 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning Heinke Hihn Daniel A. Braun BDL CLL 19 8 0 14 Nov 2022
Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 53 8 0 23 Oct 2022
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation Kang Xu Yan Ma Bingsheng Wei Wei Li 27 3 0 24 Sep 2022
Bayesian Generational Population-Based Training Xingchen Wan Cong Lu Jack Parker-Holder Philip J. Ball Vu-Linh Nguyen Binxin Ru Michael A. Osborne OffRL 26 15 0 19 Jul 2022
Fast Population-Based Reinforcement Learning on a Single Machine Arthur Flajolet Claire Bizon Monroc Karim Beguir Thomas Pierrot OffRL 10 10 0 17 Jun 2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning Wei Fu Chao Yu Zelai Xu Jiaqi Yang Yi Wu 32 32 0 15 Jun 2022
Covariance Matrix Adaptation MAP-Annealing Matthew C. Fontaine S. Nikolaidis 40 25 0 22 May 2022
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization Zihan Zhou Wei Fu Bingliang Zhang Yi Wu 19 28 0 04 Apr 2022
Learning Robust Real-Time Cultural Transmission without Human Data Cultural General Intelligence Team Avishkar Bhoopchand Bethanie Brownfield Adrian Collister Agustin Dal Lago ... Alex Platonov Evan Senter Sukhdeep Singh Alexander Zacherl Lei M. Zhang VLM 40 11 0 01 Mar 2022
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning Bryon Tjanaka Matthew C. Fontaine Julian Togelius S. Nikolaidis 30 50 0 08 Feb 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 30 100 0 11 Jan 2022
Agent Spaces John C. Raisbeck M. W. Allen Hakho Lee 14 1 0 11 Nov 2021
Dueling RL: Reinforcement Learning with Trajectory Preferences Aldo Pacchiano Aadirupa Saha Jonathan Lee 22 78 0 08 Nov 2021
Differentiable Quality Diversity Matthew C. Fontaine S. Nikolaidis 40 89 0 07 Jun 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games Nicolas Perez Nieves Yaodong Yang Oliver Slumbers D. Mguni Ying Wen Jun Wang 17 67 0 14 Mar 2021
Multiple Plans are Better than One: Diverse Stochastic Planning Mahsa Ghasemi Evan Scope Crafts Bo Zhao Ufuk Topcu 17 5 0 31 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017
Determinantal point processes for machine learning Alex Kulesza B. Taskar 162 1,122 0 25 Jul 2012